Unit information: Introduction to Artificial Intelligence in 2019/20

Please note: Due to alternative arrangements for teaching and assessment in place from 18 March 2020 to mitigate against the restrictions in place due to COVID-19, information shown for 2019/20 may not always be accurate.

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Unit name Introduction to Artificial Intelligence
Unit code EMAT31530
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. McConville
Open unit status Not open
Pre-requisites

EMAT20200 Engineering Mathematics 2, EMAT20920 Numerical Methods with Matlab (or equivalent units; knowledge of Matlab and basic statistics)
Co-requisites

None
School/department School of Engineering Mathematics and Technology
Faculty Faculty of Science and Engineering

Description including Unit Aims

Description: This unit gives a general introduction to the ideas and the tasks of Artificial Intelligence, with an emphasis on their applications across a range of disciplines, their impact on science and industry, and on their mathematical foundations.

Aims: The aim of the unit is to give a broad overview of the field of Artificial Intelligence (AI), covering a range of different topic areas and presenting fundamental techniques and algorithms.

Intended Learning Outcomes

  1. Knowledge of standard approaches in artificial intelligence
  2. Experience analysing complex data
  3. Rigorously comparing the performance of competing methods
  4. Modelling the behaviour of autonomous systems
  5. Probabilistic modeling with belief networks
  6. Information retrieval
  7. Image classification
  8. Solving real world problems
  9. Report professionally the results of an investigation

Teaching Information

Lectures & computer laboratories

Assessment Information

A 3 hour examination (all learning outcomes)

Reading and References

Artificial Intelligence: Modern Approach, (2nd Edition)

Stuart J. Russell and Peter Norvig

Related links